Dependency Graphs

material ID: dependencygraphs

Related Papers

Evaluating the Impact of Alternative Dependency Graph Encodings on Solving Event Extraction Tasks

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

In state-of-the-art approaches to information extraction (IE), dependency graphs constitute the fundamental data structure for syntactic structuring and subsequent knowledge elicita- tion from natural language documents. The top-performing systems in …...

44434

Using Syntactic Dependencies to Solve Coreferences

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

This paper describes the structure of the LTH coreference solver used in the closed track of the CoNLL 2012 shared task (Pradhan et al., 2012). The solver core is a …...

42234

Parser lexicalisation through self-learning

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

We describe a new self-learning framework for parser lexicalisation that requires only a plain-text corpus of in-domain text. The method first creates augmented versions of de- pendency graphs by applying …...

23705

On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractEmbedding a clause inside another (“the girl [who likes cars [that run fast]] has arrived”) is a fundamental resource that has been argued to be a key driver of linguistic …...

39580

Parsing Chinese Sentences with Grammatical Relations

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWe report our work on building linguistic resources and data-driven parsers in the grammatical relation (GR) analysis for Mandarin Chinese. Chinese, as an analytic language, encodes grammatical information in a …...

41429

BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractGraph-based Aspect-based Sentiment Classification (ABSC) approaches have yielded state-of-the-art results, expecially when equipped with contextual word embedding from pre-training language models (PLMs). However, they ignore sequential features of the context …...

30980