Anaphor resolution

The results of the F-measure showed the detection of clitic nya as a separate word achieved a perfect 100% result. In comparison, the clitic nya as a pleonastic achieved 88%, clitic nya referring to humans achieved 94%, and clitic nya referring to non-humans achieved 63%.

20p spiritedaway36 28-11-2021 15 1   Download

Most existing anaphora resolution algorithms are designed to account only for anaphors with NP-antecedents. This paper describes an algorithm for the resolution of discourse deictic anaphors, which constitute a large percentage of anaphors in spoken dialogues. The success of the resolution is dependent on the classification of all pronouns and demonstratives into individual, discourse deictic and vague anaphora. Finally, the empirical results of the application of the algorithm to a corpus of spoken dialogues are presented. spoken language cannot succeed without taking this into account.

8p bunthai_1 06-05-2013 43 3   Download

This paper describes some r e c e n t d e v e l o p m e n t s i n language processing involving computational models which more closely resemble the brain in both structure and function. These models employ a large number of interconnected parallel computational units which communicate via weighted levels of excitation and inhibition. A specific model is described which uses this approach to process some fragments of connected discourse.

6p bungio_1 03-05-2013 44 1   Download

This description c a n be u s e d t o guide semantic and discourse level structure recovery processes such as interpretation, anaphoric resolution, focus tracking, given/new distinctions, ellipsis resolution, etc. in a manner that is independent of the lexical and conceptual content of the utterance. There are several advantages to factoring out such knowledge.

4p bungio_1 03-05-2013 35 1   Download

This paper presents a new model of anaphoric processing that utilizes the establishment of coherence relations between clauses in a discourse. We survey data that comprises a currently stalemated argument over whether VP-ellipsis is an inherently syntactic or inherently semantic phenomenon, and show that the data can be handled within a uniform discourse processing architecture. This architecture, which revises the dichotomy between ellipsis vs.

8p bunmoc_1 20-04-2013 29 3   Download

Previous approaches to pronominalization have largely been theoretical rather than applied in nature. Frequently, such methods are based on Centering Theory, which deals with the resolution of anaphoric pronouns. But it is not clear that complex theoretical mechanisms, while having satisfying explanatory power, are necessary for the actual generation of pronouns. We first illustrate examples of pronouns from various domains, describe a simple method for generating pronouns in an implemented multi-page generation system, and present an evaluation of its performance. ...

8p bunmoc_1 20-04-2013 40 1   Download

Coreference resolution involves finding antecedents for anaphoric discourse entities, such as definite noun phrases. But many definite noun phrases are not anaphoric because their meaning can be understood from general world knowledge (e.g., "the White House" or "the news media"). We have developed a corpus-based algorithm for automatically identifying definite noun phrases that are non-anaphoric, which has the potential to improve the efficiency and accuracy of coreference resolution systems.

8p bunrieu_1 18-04-2013 40 2   Download

This paper describes a proposal for Portuguese possessive pronominal anaphor (PPA) resolution, a problem little considered so far. Particularly, we address the problem of Portuguese 3rd person intrasentential PPAs seu/sua/seus/suas (his/her/their/its, for human and non-human subjects in English), which constitute 30% of pronominal occurrences in our corpus (Brazilian laws about environment protection).

5p bunrieu_1 18-04-2013 43 3   Download

In this paper we deal with several kinds of anaphora in unrestricted texts. These kinds of anaphora are pronominal references, surfacecount anaphora and one-anaphora. In order to solve these anaphors we work on the output of a part-of-speech tagger, on which we automatically apply a partial parsing from the formalism: Slot Unification Grammar, which has been implemented in Prolog. We only use the following kinds of information: lexical (the lemma of each word), morphologic (person, number, gender) and syntactic. ...

7p bunrieu_1 18-04-2013 47 3   Download

The main aim of this paper is to analyse the e ects of applying pronominal anaphora resolution to Question Answering QA systems. For this task a complete QA system has been implemented. System evaluation measures performance improvements obtained when information that is referenced anaphorically in documents is not ignored.

8p bunrieu_1 18-04-2013 33 1   Download

Coreference resolution systems usually attempt to find a suitable antecedent for (almost) every noun phrase. Recent studies, however, show that many definite NPs are not anaphoric. The same claim, obviously, holds for the indefinites as well. In this study we try to learn automatically and two classifications, , relevant for this problem. We use a small training corpus (MUC-7), but also acquire some data from the Internet. Combining our classifiers sequentially, we achieve 88.9% precision and 84.6% recall for discourse new entities. ...

7p bunbo_1 17-04-2013 36 2   Download

Knowledge of the anaphoricity of a noun phrase might be profitably exploited by a coreference system to bypass the resolution of non-anaphoric noun phrases. Perhaps surprisingly, recent attempts to incorporate automatically acquired anaphoricity information into coreference systems, however, have led to the degradation in resolution performance. This paper examines several key issues in computing and using anaphoricity information to improve learning-based coreference systems. In particular, we present a new corpus-based approach to anaphoricity determination.

8p bunbo_1 17-04-2013 43 2   Download

We present an unsupervised, nonparametric Bayesian approach to coreference resolution which models both global entity identity across a corpus as well as the sequential anaphoric structure within each document. While most existing coreference work is driven by pairwise decisions, our model is fully generative, producing each mention from a combination of global entity properties and local attentional state. Despite being unsupervised, our system achieves a 70.3 MUC F1 measure on the MUC-6 test set, broadly in the range of some recent supervised results. ...

8p hongvang_1 16-04-2013 47 2   Download

We present an implemented system for the resolution of it, this, and that in transcribed multi-party dialog. The system handles NP-anaphoric as well as discoursedeictic anaphors, i.e. pronouns with VP antecedents. Selectional preferences for NP or VP antecedents are determined on the basis of corpus counts. Our results show that the system performs significantly better than a recency-based baseline.

8p hongvang_1 16-04-2013 51 1   Download

We aim to shed light on the state-of-the-art in NP coreference resolution by teasing apart the differences in the MUC and ACE task definitions, the assumptions made in evaluation methodologies, and inherent differences in text corpora. First, we examine three subproblems that play a role in coreference resolution: named entity recognition, anaphoricity determination, and coreference element detection.

9p hongphan_1 14-04-2013 47 2   Download

We present an ILP-based model of zero anaphora detection and resolution that builds on the joint determination of anaphoricity and coreference model proposed by Denis and Baldridge (2007), but revises it and extends it into a three-way ILP problem also incorporating subject detection. We show that this new model outperforms several baselines and competing models, as well as a direct translation of the Denis / Baldridge model, for both Italian and Japanese zero anaphora.

10p hongdo_1 12-04-2013 33 2   Download

Current work on automatic opinion mining has ignored opinion targets expressed by anaphorical pronouns, thereby missing a significant number of opinion targets. In this paper we empirically evaluate whether using an off-the-shelf anaphora resolution algorithm can improve the performance of a baseline opinion mining system. We present an analysis based on two different anaphora resolution systems.

6p hongdo_1 12-04-2013 64 3   Download