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Showing 1 to 20 of 29 for “"COREFERENCE"”.
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Information-based Event Coreference
Event Coreference is an important module in the event extraction task, which has been shown to be difficult to solve. The goal is to link mentions talking about the same event together so that the information could be aggregated. This task could further be split into two slightly different …
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Coreference processing during sentence comprehension
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1988.
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Coreference processing in L1 and L2
… the language processor must be able to resolve coreference relations between an anaphor and its antecedent. Theoretical and empirical evidence has suggested that discourse entities differ in their relative accessibility, and that this guides the choice of anaphors and identification of their …
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Pairwise embedding for event coreference resolution
Event coreference resolution is an important part in information extraction research and natural language understanding areas. Recently, the pre-trained language models emerging in modern Natural Language Processing (NLP) community provide a new perspective of solving classical NLP tasks. This …
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Joint multilingual learning for coreference resolution
… joint learning of named entity recognition and coreference resolution. The syntactic parsing model outperforms current state-of-the-art models by discovering linguistic information shared across languages at the granular level of a sentence. The coreference resolution system is one of the first …
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Interactive exploration and model analysis for coreference annotation
… visualization- and exploration-framework for coreference annotations. It is designed to meet the needs of multiple different users on a modern and multifaceted graphical exploration tool. To demonstrate its suitability for these various needs I outline several use cases and how the framework …
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Latent tree structure learning for cross-document coreference resolution
Cross Document Coreference Resolution (CDCR) is the problem of learning which mentions, coming from several different documents, correspond to the same entity. This thesis approaches the CDCR problem by first turning it into a structure learning problem. A latent tree structure, in which leaves …
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Coreference resolution on entities and events for hospital discharge summaries
… question answering systems. This thesis studies coreference resolution, an information extraction (IE) subtask that links together specific mentions to each entity. Coreference resolution enables us to find changes in the state of entities and makes it possible to answer questions regarding the …
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The use of coreference resolution for understanding manipulation commands for the PR2 Robot
… approach for using the linguistic technique of coreference resolution to improve the robot's ability to understand commands consisting of multiple clauses. We constrain the groundings for coreferent phrases to be identical by merging their nodes in the grounding graph. We show that using …
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Discourse-givenness of noun phrases : theoretical and computational models
… gives formal definitions of discourse-givenness, coreference and reference, and reports on experiments with computational models of discourse-givenness of noun phrases for English and German. Definitions are based on Bach's (1987) work on reference, Kibble and van Deemter's (2000) work on …
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Machine Learning for Information Extraction
… part of speech tagging, entity extraction, coreference resolution, and relation extraction. Each of the tasks is formalized as a learning problem and appropriate learning algorithms are developed and applied to the problem. The dissertation studies part of speech tagging as a multi-class …
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Knowledge-rich Bridging Anaphora Resolution
… less studied but more challenging than entity coreference resolution, the task of determining which entity mentions refer to the same entity in the real world. Specifically, while linguistic constraints on coreference exist at the grammatical (e.g., gender and number agreement), syntactic …
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Information extraction for clinical narratives
… focus on two tasks namely Mention Detection and Coreference Resolution. A lot of domain knowledge is available regarding clinical narratives. There are also several tools like SpecialistLexicalTools, MetaMap, etc. which help in analyzing clinical narratives. I integrate the domain knowledge and …
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Knowledge Acquisition from User Reviews for Interactive Question Answering
… natural language processing (NLP) fields such as coreference resolution, relation extraction and opinion mining are combined to produce various rankings of phone features. The research presented in this thesis employs two corpora which contain texts related to mobile phones specifically collected …
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Active duplicate detection with Bayesian nonparametric models
… for partitioning a collection of records into coreference sets. This task is complicated by ambiguous or noisy field values, so systems are typically domain-specific and often fitted to a representative labeled training corpus. Once fitted, such systems can estimate a partition of a similar …
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Entity-based scene understanding
… from multiple descriptions. This task subsumes coreference resolution, bridging resolution, and grounding to produce mutually consistent relations between entity mentions and groundings between mentions and image regions. Using neural classifiers and integer linear program inference, we show …
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Single-Case Pilot Study For Longitudinal Analysis Of Referential Failures And Sentiment In Schizophrenic Speech From Client-Centered Psychotherapy Recordings
… one patient spanning 23 years. End-to-end Neural Coreference Resolution software was used to analyze transcribed speech data from three therapy sessions to identify ambiguous pronouns, referred to as referential failures, which were reviewed and confirmed by multiple raters. Speech samples were …
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Natural Language Understanding and Generation for Task-Oriented Dialogue
… proposed to address the prevalent phenomena of coreference and ellipsis in dialogues. This model first performs coreference resolution and then rewrites the input user utterance into a complete sentence that resolves coreferent entities and omitted information. As a side contribution, the …
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The Influence of Discourse Representations on Young Children's Pronoun Interpretation
… affected by some of the same factors that affect coreference processing in adulthood. These findings suggest considerable continuity in the basic architecture of the sentence processing system throughout development.
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Unsupervised Structure Induction for Natural Language Processing
… for machine translation, syntactic parsing for coreference resolution, semantic parsing for question answering, etc. Traditional supervised learning methods rely on manually labeled structures for training. Unfortunately, manual annotations are often expensive and time-consuming for large …
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