Hovig Tchalian

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Strategy and Management — 19 citations into it
• Sociology and Political Science — 16 citations into it
• Management Science and Operations Research — 9 citations into it
• General Social Sciences — 6 citations into it

Whom Hovig Tchalian trusts overall

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

1. David M. Blei

Papers from Hovig Tchalian's perspective

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

1. Latent Dirichlet Allocation
2. Finding scientific topics
3. Foundations of Statistical Natural Language Processing
4. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
5. The Author-Topic Model for Authors and Documents (Conference on Uncertainty in Artificial Intelligence)
6. Reading Tea Leaves: How Humans Interpret Topic Models
7. Optimizing Semantic Coherence in Topic Models (Conference on Empirical Methods in Natural Language Processing)
8. From Frequency to Meaning: Vector Space Models of Semantics
9. The Stanford CoreNLP Natural Language Processing Toolkit
10. Probabilistic topic models

Their papers

• Topic Modeling in Management Research: Rendering New Theory from Textual Data (2019) — 485 citations