Pronoun Resolution

This paper addresses issues that arose in apply- ing the model for discourse entity (DE) generation in B. Webber's work (1978, 1983) to an interactive multi- modal interface. Her treatment …...

This paper describes initial work on Deep Read, an automated reading comprehension system that accepts arbitrary text input (a story) and answers questions about it. We have acquired a corpus …...

We apply a decision tree based approach to pronoun resolution in spoken dialogue. Our system deals with pronouns with NP- and non-NP-antecedents. We present a set of features designed for …...

Coreferential information of a candidate, such as the properties of its antecedents, is important for pronoun resolution because it reflects the salience of the candidate in the local discourse. Such …...

The paper aims at a deeper understanding of sev- eral well-known algorithms and proposes ways to optimize them. It describes and discusses factors and strategies of factor interaction used in …...

We propose an unsupervised Expectation Maximization approach to pronoun reso- lution. The system learns from a fixed list of potential antecedents for each pro- noun. We show that unsupervised learn- …...

In this paper we focus on how to improve pronoun resolution using the statistics- based semantic compatibility information. We investigate two unexplored issues that influence the effectiveness of such in- …...

We present an approach to pronoun reso- lution based on syntactic paths. Through a simple bootstrapping procedure, we learn the likelihood of coreference between a pronoun and a candidate noun …...

The necessity of a gradient approach to salience ranking of referents introduced in a discourse is evaluated by looking at (unbound) pronoun resolution preferences when there are competing non-salient referents. …...

We present a discriminative method for learn- ing selectional preferences from unlabeled text. Positive examples are taken from ob- served predicate-argument pairs, while nega- tives are constructed from unobserved combi- …...

We present an automatic approach to deter- mining whether a pronoun in text refers to a preceding noun phrase or is instead non- referential. We extract the surrounding tex- tual …...

Much effort in the research community has been spent on solving the anaphora resolu- tion or pronoun resolution problem, and in particular for news texts. In order to selec- tively …...

AbstractThis paper reports on the use of the Mitkov ́s algorithm for pronoun resolution in texts written in Brazilian Portuguese. Third person pronouns are the only ones focused upon here, …...

English pronouns like he and they reliably re- flect the gender and number of the entities to which they refer. Pronoun resolution systems can use this fact to filter noun …...

We explore the problem of resolving the second person English pronoun you in multi-party dialogue, using a combination of linguistic and visual features. First, we distinguish generic and referential uses, …...

A Winograd schema is a pair of twin sentences containing a referential ambiguity that is easy for a human to resolve but difficult for a com- puter. This paper explores …...

AbstractPronoun 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 …...

AbstractThis paper proposes a novel approach to learn commonsense from images, instead of limited raw texts or costly constructed knowledge bases, for the commonsense reasoning problem in NLP. Our motivation …...

AbstractHard cases of pronoun resolution have been used as a long-standing benchmark for commonsense reasoning. In the recent literature, pre-trained language models have been used to obtain state-of-the-art results on …...

This paper investigates the use of first per- son plural pronouns as a rhetorical device in political speeches. We present an anno- tation schema for disambiguating pronoun references and use …...

AbstractIn recent years, transformer-based coreference resolution systems have achieved remarkable improvements on the CoNLL dataset. However, how coreference resolvers can benefit from discourse coherence is still an open question. In …...