T. Sumner

Natural Language Processing · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 9 citations into it; #2,811 of 5,688 by trust here, #4,449 by citations
• Artificial Intelligence — 7 citations into it; #15,538 of 35,345 by trust here, #23,731 by citations
• Evaluation & Benchmarks — 6 citations into it

Whom T. Sumner trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Eneko Agirre
2. Daniel Matthew Cer

Who trusts T. Sumner overall

1. Jey Han Lau
2. Dhivya Chandrasekaran

Papers from T. Sumner's perspective

Ordered by how strongly the researchers T. Sumner trusts endorse each paper. Same corpus, a different order for every researcher.

1. SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity
2. Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
3. SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
4. *SEM 2013 shared task: Semantic Textual Similarity
5. UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures
6. SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
7. Corpus-based and Knowledge-based Measures of Text Semantic Similarity (AAAI Conference on Artificial Intelligence)
8. Sentence similarity based on semantic nets and corpus statistics (IEEE Transactions on Knowledge and Data Engineering)
9. PPDB: The Paraphrase Database
10. UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems

Their papers

• DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition (2015) — 116 citations