Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 17 of 17 for “"Coreference Resolution"”.
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
Proposition-based summarization with a coherence-driven incremental model
… methods of modelling local coherence, including coreference resolution, distributional similarity, and lexical chains. In the first group of experiments, my summarizer realizes summary propositions by sentence extraction. These experiments show that my summarizer outperforms several …
-
Knowledge-rich Bridging Anaphora Resolution
Bridging anaphora resolution, the task of identifying anaphoric noun phrases (i.e., bridging anaphors) and linking them to their antecedents in a document, is crucial for machine comprehension of the relations between discourse entities for various downstream applications, such as question …
-
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 …
-
Computational Framing Analysis: Proposing And Applying an Unsupervised Entity-Centric Semantic Relations Approach
… NLP techniques such as dependency parsing and coreference resolution to identify how words modify or relate to key entities (e.g., shooter, victims). Furthermore, large language models (LLMs) such as OpenAI’s GPT-4o are incorporated to automate the clustering of framing components. This …
-
Exploiting knowledge in NLP
… injected from Wikipedia for co-reference resolution. While the majority of the knowledge in this thesis is encyclopedic, we have also investigated how knowledge about the structure of the problem in the form of constraints can allow leveraging unlabeled data in semi-supervised settings. …
-
Cross-document misinformation detection based on event graph reasoning
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms