Ibrahim Farag

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Ibrahim Farag trusts

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

1. Steven Bethard (in Artificial Intelligence)

Papers from Ibrahim Farag's perspective

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

1. The Stanford CoreNLP Natural Language Processing Toolkit
2. UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems
3. Soft Cardinality: A Parameterized Similarity Function for Text Comparison
4. BabelNet: Building a Very Large Multilingual Semantic Network
5. Kernel Methods for Pattern Analysis
6. MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic
7. DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition
8. SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity
9. WordNet: A Lexical Database for English
10. GloVe: Global Vectors for Word Representation

Their papers

• FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach (2017) — 10 citations