Search Results for author: Chris Welty

Found 10 papers, 6 papers with code

Embedding Semantic Taxonomies

no code implementations COLING 2020 Alyssa Lees, Chris Welty, Shubin Zhao, Jacek Korycki, Sara Mc Carthy

A common step in developing an understanding of a vertical domain, e. g. shopping, dining, movies, medicine, etc., is curating a taxonomy of categories specific to the domain.

Collaborative Filtering

Metrology for AI: From Benchmarks to Instruments

no code implementations5 Nov 2019 Chris Welty, Praveen Paritosh, Lora Aroyo

In this paper we present the first steps towards hardening the science of measuring AI systems, by adopting metrology, the science of measurement and its application, and applying it to human (crowd) powered evaluations.

Word Similarity

A Crowdsourced Frame Disambiguation Corpus with Ambiguity

1 code implementation NAACL 2019 Anca Dumitrache, Lora Aroyo, Chris Welty

We present a resource for the task of FrameNet semantic frame disambiguation of over 5, 000 word-sentence pairs from the Wikipedia corpus.

Frame

Crowdsourcing Semantic Label Propagation in Relation Classification

1 code implementation WS 2018 Anca Dumitrache, Lora Aroyo, Chris Welty

Distant supervision is a popular method for performing relation extraction from text that is known to produce noisy labels.

Classification General Classification +1

CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement

2 code implementations18 Aug 2018 Anca Dumitrache, Oana Inel, Lora Aroyo, Benjamin Timmermans, Chris Welty

However, in many domains, there is ambiguity in the data, as well as a multitude of perspectives of the information examples.

Human-Computer Interaction Social and Information Networks

Capturing Ambiguity in Crowdsourcing Frame Disambiguation

1 code implementation1 May 2018 Anca Dumitrache, Lora Aroyo, Chris Welty

FrameNet is a computational linguistics resource composed of semantic frames, high-level concepts that represent the meanings of words.

Frame

False Positive and Cross-relation Signals in Distant Supervision Data

1 code implementation14 Nov 2017 Anca Dumitrache, Lora Aroyo, Chris Welty

Distant supervision (DS) is a well-established method for relation extraction from text, based on the assumption that when a knowledge-base contains a relation between a term pair, then sentences that contain that pair are likely to express the relation.

General Classification Relation Classification

Crowdsourcing Ground Truth for Medical Relation Extraction

1 code implementation9 Jan 2017 Anca Dumitrache, Lora Aroyo, Chris Welty

Cognitive computing systems require human labeled data for evaluation, and often for training.

Medical Relation Extraction Relation Extraction

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