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Pronoun resolution

Pronoun resolution ACM SIGART Bulleti

Two approaches to the problem of pronoun resolution are presented. The first is a naive algorithm that works by traversing the surface parse trees of the sentences of the text in a particular order looking for noun phrases of the correct gender and number. The algorithm is shown to incorporate many, though not all, of the constraints on co-referentiality between a nonreflective pronoun and a possible antecedent, which have been discovered recently by linguists. The algorithm clearly does not. Our ability to ascertain which person a pronoun refers to is a central part of human language understanding. Toward a process-based understanding of the brain's pronoun-resolution abilities, we evaluated four computational models against brain activity during naturalistic comprehension. These models each formalizes a different strand of explanation for pronoun resolution that has figured in.

Modeling pronoun resolution in the brain bioRxi

Purpose: The purpose of this study is to investigate the effects of healthy aging on the ability to suppress grammatically illicit antecedents during pronoun resolution. Method: In 2 reading-based. Anaphora Resolution == the problem of resolving what a pronoun, or a noun phrase refers to. In the following example, 1) and 2) are utterances; and together, they form a discourse. 1) John helped Mary. 2) He was kind. As human, readers and listeners can quickly and unconsciously work out that the pronoun he in utterance 2) refers to John in 1). The underlying process of how this is done is.

In its narrower definition, an anaphoric pronoun must refer to some noun (phrase) that has already been introduced into the discourse. In complement anaphora cases, however, the anaphor refers to something that is not yet present in the discourse, since the pronoun's referent has not been formerly introduced, including the case of 'everything but' what has been introduced. The set of ice-cream-eating-children in example b is introduced into the discourse, but then the pronoun pronoun resolution has been observed to show bias toward subject more than . within-sentence pronoun resolution. Therefore, it is expected that contexts 1, 2, 3, a n d 4 g i ve n i n. Pronoun Resolution to Commanders and Recessors 119 The most apt explanation for this difference is that whereas the selection of commanders as antecedents is done through syntactic means alone, the selection of recessors as antecedents requires the implementation of the selection through an additional informational layer, namely, discourse representation. The level of complexity is thus determined by how many layers of information (syntax only vs syntax+discourse) are required to ultimately.

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Recent neural network models for Chinese zero pronoun resolution gain great performance by capturing semantic information for zero pronouns and candidate antecedents, but tend to be short-sighted, operating solely by making local decisions. They typically predict coreference links between the zero pronoun and one single candidate antecedent at a time while ignoring their influence on future decisions. Ideally, modeling useful information of preceding potential antecedents is crucial for. ONLINE PRONOUN RESOLUTION IN L2 DISCOURSE: L1 Influence and General Learner Effects - Volume 30 Issue 3 - Leah Roberts, Marianne Gullberg, Peter Indefre for pronoun resolution in previous psychological experi-ments (e.g., Chang, 1980; Corbett & Chang, 1983; Gerns-bacher, 1989) may have been optional, strategic processes and not a mandatory component of comprehension. In contrast to typical experimental materials that describe two characters who are equally in the focus of attention, natural discourse commonly uses a pronoun to refer to a. This is the solution to the Kaggle problem gendered-pronoun-resolution using BERT Pronoun Coreference Resolution (PCR) is the task of resolving pronominal expressions to all mentions they refer to. Compared with the general coreference resolution task, the main challenge of PCR is the coreference relation prediction rather than the mention detection. As one important natural language understanding (NLU) component, pronoun resolution is crucial for many downstream tasks and.

Lernen Sie die Übersetzung für 'resolution' in LEOs Englisch ⇔ Deutsch Wörterbuch. Mit Flexionstabellen der verschiedenen Fälle und Zeiten Aussprache und relevante Diskussionen Kostenloser Vokabeltraine ONLINE PRONOUN RESOLUTION IN L2 DISCOURSE L1 Influence and General Learner Effects Leah Roberts, Marianne Gullberg, and Peter Indefrey Max Planck Institute for Psycholinguistics This study investigates whether advanced second language (L2) learners of a nonnull subject language (Dutch) are influenced by their null subject first language (L1) (Turkish) in their offline and online res- olution. model, pronoun resolution is viewed as a special case of this, where the possible inferences are restricted. In our simulations, the possibilities are Bob wins and Joe wins, so a choice has to be made between these two propo-sitions, represented by points µ(B) and µ(J) in situation space. If vector Y represents the current interpretation of he wins, the pronoun resolution process moves Y.

pronoun resolution algorithms have, to my knowledge, been tested on unrestricted natural texts. One exception is Guentner & Lehman's (1983) set of rules for the interpretation of pronouns, which is reported to work remarkably well for some 600 pronoun occurrences in a text corpus. (No figures or further specifications of text type etc. are, however, provided.) Another exception came to my. Pronoun Resolution Homework Caroline Sporleder Universit¨at des Saarlandes Sommersemester 2009 27.05.2009 Caroline Sporleder csporled@coli.uni-sb.de Computational Models of Discourse. Pronoun Resolution The postman stroked his neighbour's dog Hector. Suddenly, he bit. Who bites whom? How do you know? Caroline Sporleder csporled@coli.uni-sb.de Computational Models of Discourse. Pronoun. Pronoun Resolution For Hindi Bhargav Uppalapu, Dipti Misra Sharma Language Technologies Research Center, International Institute of Information Technology, Hyderabad, INDIA. bhargav@students.iiit.ac.in, dipti@iiit.ac.in. Abstract This paper presents an algorithm which is in line with S-List (Prasad and Strube, 2000) for resolving the Hindi third person pronouns. We show that there is an.

Five recent zero pronoun resolution systems are employed as our baselines, namely, zhao2007, chen2015, chen2016, yin2017chinese and yin2017chinesezp. The first of them is machine learning-based, the second is the unsupervised and the other ones are all deep learning models. Since we concentrate on the anaphoric zero pronoun resolution process, we run experiments by employing the experiment. Two approaches to the problem of pronoun resolution are presented. The first is a naive algorithm that works by traversing the surface parse trees of the sentences of the text in a particular order looking for noun phrases of the correct gender and number. The algorithm is shown to incorporate many, though not all, of the constraints on co-referentiality between a nonreflective pronoun and a. A NLP project on Gendered Pronoun Resolution - We reduced gender bias in pronoun resolution models from 8% to 0.2% phenomenon that requires the coordination of different types of information is pronoun resolution in null subject languages, where the choice of subject pronoun form (overt or null) is regulated by discourse factors. In this paper, we present the results of two experiments that are designed to examine how Greek children and adults coordinate grammatica

Hard cases of pronoun resolution have been a long-standing problem in natural language processing, which has served as a performance benchmark for the research community (Levesque et al.,2012; Wang et al.,2018,2019a). For example, the Wino-Grande dataset (Sakaguchi et al.,2019) consists of pronoun resolution schemas that are constructed so that resolving them requires background knowl-edge and. Toward a process-based understanding of the brain's pronoun-resolution abilities, we evaluated four computational models against brain activity during naturalistic comprehension. These models each formalizes a different strand of explanation for pronoun resolution that has figured in the cognitive and linguistic literature. These include syntactic binding constraints, discourse coherence and. Pronoun Resolution and Discourse Models Steven B. Greene Stanford University Gail McKoon and Roger Ratcliff Northwestern University Psychological investigations of pronoun resolution have implicitly assumed that the processes involved automatically provide a unique referent for every pronoun. We challenge this assump- tion and propose a new framework for studying pronoun resolution. Drawing on. Pronoun Resolution. Abstract: The DRT implementation is able to resolve anaphoric pronouns as well, including those appearing in donkey sentences. The DRT implementation is able to resolve anaphoric pronouns as well, including those appearing in donkey sentences. Let's have a look at some examples (the second example is actually an instance of a donkey example): > A man walks. He smokes. 1 drs. Pronoun resolution refers to the problem of determining the coreference linkages between the antecedents and the pronouns. We propose to employ a combined model of statistical learning and first-order logic, the Markov logic network (MLN). Our proposed model can more effectively characterize the pronoun coreference resolution process that requires conducting inference upon a variety of.

Awesome Pronoun Review Worksheet | Educational Worksheet

Effects of Aging on Interference During Pronoun Resolution

Pronoun Resolution in Unrestricted Text - Volume 11 Issue 1-2 - Kari Fraurud. Skip to main content. We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings. Cancel . Log in × × Home. Only search content I have access to. Pronoun resolution (too old to reply) biblical hebrew 2007-09-08 23:48:02 UTC. Permalink. Hi All, I have a question for everybody which I would greatly appreciate _any_ help or suggestions on. One of the problems in any translation exercise is the resolution of pronouns (he/she/it/they) either explicit or implied (by verb forms). So the question I want to ask is the following. What techniques. Gendered Pronoun Resolution Mustafa Abdool Stanford University moose878@stanford.edu Sarah Egler Stanford University segler@stanford.edu Abstract Most state-of-the-art coreference models are trained and evaluated on gender imbalanced datasets such as the widely used OntoNotes [13]. Such datasets include far more examples of male pronouns than female pronouns, yielding models whose performance.

I want to do the pronoun resolution backwards, so that I get an output like. The man likes math. He really does. My input text will mostly be 3~10 sentences, and I'm working with python. python nlp nltk stanford-nlp. share | improve this question | follow | edited Mar 22 '16 at 6:02. ytrewq . asked Jan 6 '16 at 8:00. ytrewq ytrewq. 2,684 6 6 gold badges 29 29 silver badges 64 64 bronze. pronoun resolution, is claimed to respond to a general preference for entities that are part of the given, old, presupposed part of the cleft construction. In the context of 2 DUs, the same focus particles give way to a more complex pattern of resolution preferences similar to what . iv has been previously observed with implicit causality (IC) verbs. Following Bott and Solstad (2014), we argue.

What is Anaphora Resolution? - Cornell Universit

Our findings unify insights from research in pronoun resolution and in adaptation, and add to previous studies in both topics: They provide evidence for the influence of pronoun probability in pronoun resolution, and for an adaptation process whereby the language processor not only tracks statistical information, but uses it to make interpretational inferences . Original language: English. Pronoun resolution is the process of finding the antecedent of an anaphoric pronoun. Whereas it is almost always successful — it seems even the case that the use of pronouns contributes to the fluidity of a discourse (1) — there are differences in the facility of resolution between different pronouns demonstrated by small differences in processing times. For example, in English, subject. definite_pronoun_resolution. Description: Composed by 30 students from one of the author's undergraduate classes. These sentence pairs cover topics ranging from real events (e.g., Iran's plan to attack the Saudi ambassador to the U.S.) to events/characters in movies (e.g., Batman) and purely imaginary situations, largely reflecting the pop culture as perceived by the American kids born in the.

Anaphora (linguistics) - Wikipedi

Robust method of pronoun resolution using full-text information. In CCL, 1994, pages 1157-1163. Ng (2005) Vincent Ng. 2005. Supervised ranking for pronoun resolution: Some recent improvements. In EMNLP, 2005, volume 20, page 1081. Pennington et al. (2014) Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 In English grammar, anaphora is the use of a pronoun or other linguistic unit to refer back to another word or phrase. The adjective is anaphoric, and the term is also known by the phrases anaphoric reference or backward anaphora. A word that gets its meaning from a preceding word or phrase is called an anaphor If the initial stages of pronoun resolution used only agreement features to identify a set of candidate antecedents, then reading times immediately following a pronoun should be sensitive only to the features of potential antecedents, not their structural position. The presence of a feature-matching (albeit structurally unacceptable) candidate would facilitate processing in sentences with no. Zero Pronoun Resolution in Thai: A Centering Approach Wirote Aroonmanakun Abstract Since pronouns can be dropped in Thai, a natural language processing system for Thai must be able to resolve referents of the missing pronouns. One of several approaches that have been used for reference resolution is Centering Theory. Centering Theory is a focusing process in which salience of discourse.

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Video: (PDF) Factors Affecting Pronoun Resolution by Vietnamese

(PDF) Pronoun Resolution to Commanders and Recessors: A

Information structure effects on anaphora resolution in German and French: A cross-linguistic study of pronoun resolution. Linguistics, 50(5), 991-1013. Linguistics, 50(5), 991-1013. Schimke, S. (2012) Selbstgesteuertes Hören und Bildauswahlaufgaben in der Zweitspracherwerbsforschung Zero pronoun resolution in Bulgarian Zero pronoun resolution in Bulgarian Grigorova, Diana 2011-06-16 00:00:00 International Conference on Computer Systems and Technologies - CompSysTech 11 Zero pronoun resolution in Bulgarian Diana Grigorova Abstract: This paper introduces the problem zero anaphora resolution in Bulgarian. . Different types of subject ellipses in Bulgarian are des

Deep Reinforcement Learning for Chinese Zero Pronoun

ONLINE PRONOUN RESOLUTION IN L2 DISCOURSE: L1 Influence

  1. e the referent of the pronoun. This paper addresses the resolution of two pronouns, they and them, and looks at simplistic rules to improve the process of deter
  2. Pronoun resolution Anaphoric processing Individual difference Reading Span Referential ambiguity ERPs 1. Introduction Almost no conversation goes by without somebody using a pronoun to refer to some object, action or individual. Pronouns are our linguistic 'short-cuts' for maintaining reference to topics that are in the focus of our conversation. In fact, comprehending pronouns is such.
  3. Predicate interpretation frequently aids in pronoun resolution, as will 1e seen in the next few paragraphs, and in (3) Knitting: hen a statement is instantiated whose predicate is identical to that of a statement already in the text, then the first ass we make is that this is a redundancy. That is, redundancy is expected be they normal state of affairs. If no obvious inconsistency is found, we.
  4. 2008 Exploring Domain Differences for the Design of Pronoun Resolution Systems for Biomedical Text Ngan L.T. Nguyen Jin-Dong... 8. A Twin-Candidate Based Approach for Event Pronoun Resolution using Composite Kernel. 2010 - Han-Bin Chen,Jian Su,Chew-lim Tan. August 2010 A Twin-Candidate Based Approach for Event Pronoun Resolution using Composite Kernel Chen Bin 1 Su Jian 2 Tan... 9. Prosody and.
  5. School board to consider gender pronoun policy, anti-name-calling resolution (5) Wexton, Randall call for Trump's removal amid Capitol chaos (4) Loudoun leaders give $900 billion COVID-19 relief.
  6. gendered pronoun resolution, we try to identify the named entity antecedents of gendered pronouns, such as his and her. While approaches to automating coreference resolution have been discussed as early as 1978 with Hobbs' naive algorithm, which involves an extensive, complex set of rules over syntactic trees, there have been several machine learning approaches to this problem, the.
  7. The current study investigates cataphoric pronoun resolution in native (L1) and proficient non-native (L2) speakers of German. If processing a cataphoric pronoun triggers an active search for an antecedent, then readers should try to link it to the first potential candidate in the input. If L2 speakers have a reduced ability to generate expectations during comprehension (e.g.,.
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Immediate sensitivity to structural constraints in pronoun resolution. Real-time interpretation of pronouns is sometimes sensitive to the presence of grammatically-ill, and sometimes , and sometimes not. This occasional sensitivity has been taken as evidence that structural constraints do not immediately impact the initial antecedent retrieval for pronoun interpretatio... Ausführliche. Zero pronoun resolution based on automatically constructed case frames and structural preference of antecedents. Daisuke Kawahara, Sadao Kurohashi. Research output: Contribution to journal › Conference article. 1 Citation (Scopus) Overview; Fingerprint; Abstract. This paper describes a method to detect and resolve zero pronouns in Japanese text. We detect zero pronouns by case analysis based. Centering theory has also guided the development of pronoun resolution algorithms, such as the BFP algorithm and the algorithm developed by Strube (1998, henceforth, S-list algorithm). Both algorithms regard the notion of relative salience to be crucial for the resolution of pronouns, and in order to apply these algorithms for pronoun resolution in any language, the first task is to be able to. Machine pronoun resolution classifier. Significant gains in performanceare observed on several datasets.1 Introduction Pronoun resolution is a difficult but vital part of theoverall coreference resolution... to pronoun s advantage The company used the delay to its advantage.5. Noun suspended pronounpronou Zero Pronoun Resolution with Attention-based Neural Network. COLING 2018 • qyyin/AttentionZP • Recent neural network methods for zero pronoun resolution explore multiple models for generating representation vectors for zero pronouns and their candidate antecedents

{{language_data.label_navi_more}} {{language_data.label_navi_less} As the processes underlying the resolution of coreferential pronouns, that is, of pronouns referring back to linguistic items already mentioned in a given sentence, are of central importance to psycholinguistic theory [4], Heine et al. [5] conducted an event-related potentials (ERPs) study to resolve the issue of whether and how the relative lexical frequency of a noun influences the. pronouns substitute certain discourse referents while others are mentioned explicitly. In addition to these syntactic and semantic theories pragmatic information seem to play a crucial role in pronoun resolution [Bosch et al., 2007]. We are going into detail with the influence of world knowledge as belonging to pragmatics at a later point. Sum Coreference resolution. In computational linguistics, coreference resolution is a well-studied problem in discourse. To derive the correct interpretation of a text, or even to estimate the relative importance of various mentioned subjects, pronouns and other referring expressions must be connected to the right individuals. Algorithms intended.

While pronouns can freely corefer with non-quantified referential antecedents, linking a pronoun to a quantified antecedent is only possible in certain syntactic configurations via variable binding. We report the results from a judgment task and three online reading comprehension experiments investigating pronoun resolution with quantified and non-quantified antecedents. Results from both the. Psychological investigations of pronoun resolution have implicitly assumed that the processes involved automatically provide a unique referent for every pronoun. The authors challenge this assumption and propose a new framework for studying pronoun resolution. Drawing on advances in discourse representation and global memory modeling, this framework suggests that automatic processes may not.

Psychological investigations of pronoun resolution have implicitly assumed that the processes involved automatically provide a unique referent for every pronoun. We challenge this assumption and propose a new framework for studying pronoun resolution. Drawing on advances in discourse representation and global memory modeling, this framework suggests that automatic processes may not always identify a unique referent for a pronoun. In 9 experiments, we demonstrate that, unlike noun anaphors. other: Pronoun resolution guides coherence, but coherence also guides pronoun resolution. Thus he hypothesizes that how a pronoun is resolved may depend on the coherence relation between the clauses. Two classes of coherence relations that are particularly relevant to the examples that have been discussed in the pronoun resolution literature.

GitHub - krishansubudhi/gendered-pronoun-resolution: This

2 Pronoun Resolution As Ranking The twin-candidate approach of Yang et al. [2003] goes a long way toward ameliorating the deficiencies of the single-candidate approach. Classification is still binary, but proba-bilities are conditioned on triples of NP mentions rather than just a single candidate and the anaphor. Each triple contains: (i) the anaphor, (ii) an antecedent mention, and (iii) a. We propose an unsupervised Expectation Maximization approach to pronoun resolution. The system learns from a fixed list of potential antecedents for each pronoun. We show that unsupervised learning is possible in this context, as the performance of our system is comparable to supervised methods. Our results indicate that a probabilistic gender/number model, determined automatically from unlabeled text, is a powerful feature for this task

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[2009.12721] A Brief Survey and Comparative Study of ..

  1. Non-native speakers' sensitivity to discourse-level cues in pronoun interpretation has not been widely researched. We carried out three antecedent-choice questionnaire experiments which investigate the impact of focus on within-sentence pronoun resolution in native and non-native speakers of German and native speakers of Russian
  2. istrators for further consideration. It's just kind of all up to ad
  3. Finding Condition C effects to be delayed during natural reading or when using highly time-course sensitive methods can be interpreted in terms of the assumption that pronoun resolution involves at least two stages, an initial bonding stage and a subsequent reference resolution stage (Garrod and Terras, 2000, Kennison, 2003, Sanford and Garrod, 1989, Sanford et al., 1983). At the bonding stage, a tentative link is formed between a pronoun and a potential antecedent, and at the.
  4. pronoun). Reference resolution Task of partitioning the set of all referring expressions in to equivalence classes (chains) that refer to one referent. Simone Teufel Lecture 12: Anaphora Resolution 7 Referring Expressions Pronoun resolution algorithms Cognitive Status and Givenness Hierarchy Salience Types of referring expression

resolution - LEO: Übersetzung im Englisch ⇔ Deutsch Wörterbuc

  1. Evaluation in Anaphora Resolution Factors (constraints and preferences) Mutually dependent Most people still work mainly on pronoun resolution Multilingual Context Service to Research Community Sharing software, experience, data There are just 3 demos for AR ;) 23 24
  2. Research of Event Pronoun Resolution Abstract: Event anaphora resolution plays an important role in discourse analysis. In comparison with general noun phrases, pronouns carry little information of themselves, resolving the event pronouns is a more difficult task. This paper proposes a machine learning-based framework for event pronoun resolution. All kinds of features, including both flat and.
  3. ence. In Anaphora: Analysis, Algorithms and Applications - 6th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2007, Selected Papers. Springer Verlag. 2007. p. 28-43. (Lecture Notes in Computer Science (including subseries Lecture Notes in.

Online Pronoun Resolution in L2 Discours

  1. Using bilingual corpora to improve pronoun resolution Ruslan Mitkov and Catalina Barbu School of Humanities, Languages and Social Sciences University of Wolverhampton Stafford Street Wolverhampton WV1 1SB United Kingdom {r.mitkov, c.barbu}@wlv.ac.uk 1 Rationale Co-occurrence patterns act as an important factor (collocation preference) in anaphora resolu- tion which have been successfully.
  2. pronoun interpretation in English two clause sentences. The results demonstrate that peopleÕs preferences can be reversed by changing the coherence relation between the clauses. The results are not compatible with the existence of a single all-purpose strategy in pronoun resolution. Rather, the results support KehlerÕs (2002) hypothesis that the processing patterns observed in pronoun.
  3. ed empirically. In the evaluation phase, it performed considerably better than the baseline.
  4. Anaphora resolution (AR) which most commonly appears as pronoun resolution is the problem of resolving references to earlier or later items inthe discourse. These items are usually noun phrases representing objects in the real world called referents but can also be verb phrases, whole sentences or paragraphs

A Model for Knowledge-Based Pronoun Resolution

  1. Pronoun resolution is a major area of natural language understanding. However, large-scale training sets are still scarce, since manually labelling data is costly. In this work, we introduce WikiCREM (Wikipedia CoREferences Masked) a large-scale, yet accurate dataset of pronoun disambiguation instances. We use a language-model-based approach for pronoun resolution in combination with our.
  2. Catalina Barbu (2003) Bilingual Pronoun Resolution: Experiments in English and French. PhD Thesis, University of Wolverhampton, UK Abstract Anaphora resolution has been a subject of research in computational linguistics for more than 25 years. The interest it aroused was due to the importance that anaphoric phenomena play in the coherence and cohesiveness of natural language. [
  3. Recent evidence from adult pronoun comprehension suggests that semantic factors such as verb transitivity affect referent salience and thereby anaphora resolution. We tested whether the same semantic factors influence pronoun comprehension in young children. In a visual world study, 3-year-olds heard stories that began with a sentence containing either a high or a low transitivity verb.
  4. baseline pronoun resolution algorithm failed to perform better than the baseline. One of the problems of the embedded tree structures for modeling discourse s that it is very difficult toi generate automatically, let alone annotate manually reliably. And as the previous pronoun study shows, even with a detailed annotation, it is unclear if it is actually useful for pronoun resolution. In our.
  5. ent [2]. There is evidence suggesting that the resolution of reflexive anaphors is more prone to interference from discourse- pro

(PDF) Pronoun Resolution For Hindi Bhargav Uppalapu

Abstract: Event anaphora resolution plays an important role in discourse analysis. In comparison with general noun phrases, pronouns carry little information of themselves, resolving the event pronouns is a more difficult task. This paper proposes a machine learning-based framework for event pronoun resolution. All kinds of features, including both flat and structural features, are explored. The findings suggest that pronoun resolution is affected by the information status of the antecedent candidates and that resolution preferences change across antecedent word orders. Two visual-world eye-tracking experiments were designed to investigate the resolution of ambiguous German pronouns, the personal pronoun (er) and the d-pronoun (der) in spoken discourse these algorithms for pronoun resolution in any language, the first task is to be able to determine the C !-list ranking criteria for that language. Our second goal, therefore, is to apply these algorithms to the resolution of pronouns in Hindi texts by incorporating the results of our analysis of relative salience in Hindi. In doing so, we show that the BFP algorithm cannot be successfully. Name resolution — Contents 1 In computer languages 1.1 Static versus dynamic 1.2 Name masking 1.3 Alpha renaming to make name resolution trivial Wikipedi

Abduction for pronoun resolution: Original language: English: Title of host publication: International Conference on Logic Programming: Workshop on Abductive Reasoning: Publisher: Massachusetts Institute of Technology (MIT) Press: Volume: June: ISBN (Print) ISBN 0262731053: Publication status: Published - 1993: Bibliographical note Conference Proceedings/Title of Journal: Int. Conf. on Logic. Chinese Zero Pronoun Resolution Edit Task Natural Language Processing • Chinese. 2. papers with code. 0. benchmarks. About . Edit. Benchmarks . Add a Result. No evaluation results yet. Help compare methods by submit evaluation metrics. Latest papers without code. Greatest.

Deep Reinforcement Learning for Chinese Zero pronoun

Robust pronoun resolution with limited knowledge Ruslan Mitkov School of Languages and European Studies University of Wolverhampton Stafford Street Wolverhampton WV1 1SB United Kingdom R.Mitkov@wlv.ac.uk Abstract Most traditional approaches to anaphora resolution rely heavily on linguistic and domain knowledge. One of the disadvantages of developing a knowledge-based system, however, is that. Coreference resolution. In computational linguistics, coreference resolution is a well-studied problem in discourse. To derive the correct interpretation of a text, or even to estimate the relative importance of various mentioned subjects, pronouns and other referring expressions must be connected to the right individuals. Algorithms intended to resolve coreferences commonly look first for the nearest preceding individual that is compatible with the referring expression. For example pronoun should be found in one of the n sen-tences preceding the pronouns, where n should be small [Klapholz and Lockman, 1975]. Hobbs [1978] showed that this number was close to one, although no actual limit could be really imposed. In work by both Hobbs [1978] and Winograd [1972], the resolution of pronouns also involves Chinese zero pronoun resolution; People. Names. Fang Kong (1) Guodong Zhou (1) Min Zhang (1) Qingyu Yin (1) Ting Liu (1) Weinan Zhang (1) Yu Zhang (1) Institutions. Harbin Institute of Technology (1) Soochow University (1) Authors. Fang Kong (1) Guodong Zhou (1) Min Zhang (1) Qingyu Yin (1) Ting Liu (1) Weinan Zhang (1) Yu Zhang (1) Publications. Journal/Magazine Names. ACM Transactions on. The third personal pronoun anaphora resolution in texts from the In-ternet sources (forum comments, opinions) with a given subject domain (cars, household appliances etc) is being discussed. A concrete solution to the task is offered. High precision with acceptable recall (and vice versa) is shown by an example of opinions about mobile phones. Keywords. Computational linguistics, natural.

Pronoun resolution Semantic Schola

Posts about pronoun resolution written by untrodsnow. This is a (slightly light) demo of some pronoun resolution software I developed way back in ooh 1999 or 2000 According to Centering Theory, an entity that links to the prior discourse could receive a boost in the current prominence ranking. Such a boost will affect pronoun processing because pronouns tend to seek out the most prominent entity for reference. The current paper presents a reanalysis of data from a study that investigated how pronoun processing was affected by the prior discourse

Pronoun resolution is a crucial and difficult subpart of an overall task named coreference resolution. Coreference resolution determines the group of noun phrases that refer to the same real world entity. In recent years, the ranking (re-ranking) approaches have been successfully applied to a variety of NLP tasks including English pronoun resolution (Denis and Baldridge, 2007), and the. While the demonstrative pronoun required additional processing compared to the personal pronoun, prominence information did not affect resolution in shallow conditions. It did, however, affect resolution under deep processing conditions. We conclude that prominence information is not ruled out by the presence of stronger resolution cues such as.

GitHub - shivankgoel/pronounresolution: A NLP project on

Gender-unbiased BERT-based Pronoun Resolution 13 Not a huge impact on log-loss But influenced gender bias removal a lot Extracting BERT-embeddings for named entities A, B, and pronouns Fine-tuning BERT classifier Hand-crafted features Neural network architectures 5. Correcting mislabeled instances 14. Gender-unbiased BERT-based Pronoun Resolution 14 15. Gender-unbiased BERT-based Pronoun. Many studies have shown that readers and listeners recruit verb-based implicit causality information rapidly in the service of pronoun resolution. However, since most of these studies focused on constructions in which because connected the two critical clauses, it is unclear to what extent implicit causality information affects the processing of pronouns embedded in other types of coherence. based pronoun resolution system composed of three com-mon components: markable detection, anaphoricity deter-mination, and pronoun resolution engine. All comparative analysis statistics are based on the MUC7 (both dryrun and formal data sets), BNEW, NPAPER, and NWIRE data sets (both train and devtest) in ACE, and GENIA. In Section 2, we briefly describe our pronoun resolution system. Section. Rule-based and memory-based pronoun resolution for German a comparison and assessment of data sources von Holger Wunsch : Format: E-Book Hochschulschrift: Sprache: Englisch : veröffentlicht: 2010 . Schlagwörter: Anapher > Syntax. Regel. Computerlinguistik. Deutsch . Hochschulschrift.

The time course of pronoun resolution in post-stroke and progressive aphasia. Fact Sheet. Fact Sheet ; Fact Sheet ; Project Information . ProResA . Grant agreement ID: 838602 . Status Ongoing project . Start date 1 February 2020. End date 31 January 2023. Funded under. H2020-EU.1.3.2. Overall budget € 277 259,52 . EU contribution € 277 259,52 . Coordinated by . RIJKSUNIVERSITEIT GRONINGEN. A Corpus-Based Evaluation of Centering and Pronoun Resolution

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