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Simple, Accurate Parsing with an All-Fragments Grammar

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

We present a simple but accurate parser which exploits both large tree fragments and symbol refinement. We parse with all fragments of the training set, in con- trast to much …...

36105

Joint Inference for Event Timeline Construction

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

This paper addresses the task of construct- ing a timeline of events mentioned in a given text. To accomplish that, we present a novel representation of the temporal structure of …...

44136

Using Mined Coreference Chains as a Resource for a Semantic Task

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

We propose to use coreference chains ex- tracted from a large corpus as a resource for semantic tasks. We extract three mil- lion coreference chains and train word embeddings on …...

34423

Mise en Place: Unsupervised Interpretation of Instructional Recipes

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

We present an unsupervised hard EM ap- proach to automatically mapping instruc- tional recipes to action graphs, which de- fine what actions should be performed on which objects and in …...

34654

A Retrospective Analysis of the Fake News Challenge Stance-Detection Task

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThe 2017 Fake News Challenge Stage 1 (FNC-1) shared task addressed a stance classification task as a crucial first step towards detecting fake news. To date, there is no in-depth …...

5360

Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractDespite the rapid progress in multihop question-answering (QA), models still have trouble explaining why an answer is correct, with limited explanation training data available to learn from. To address this, …...

31274

Sensorimotor Enhanced Neural Network for Metaphor Detection

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

Detecting metaphors is challenging due to the subtle ontological differences between metaphorical and non-metaphorical expres- sions. Neural networks have been widely adopted in metaphor detection and become the main stream …...

18853

KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractSemEval-2021 Task 8: MeasEval aims at improving the machine understanding of measurements in scientific texts through a set of entity and semantic relation extraction sub-tasks on identifying quantity spans along …...

25706

Cross-Lingual UMLS Named Entity Linking using UMLS Dictionary Fine-Tuning

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe study cross-lingual UMLS named entity linking, where mentions in a given source language are mapped to UMLS concepts, most of which are labeled in English. Our cross-lingual framework includes …...

32537

Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractComplex knowledge base question answering can be achieved by converting questions into sequences of predefined actions. However, there is a significant semantic and structural gap between natural language and action …...

31640

Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractAlthough named entity recognition (NER) helps us to extract domain-specific entities from text (e.g., artists in the music domain), it is costly to create a large amount of training data …...

42800