Lili Kotlerman
– לילי
קוטלרמן
Home
page
[ DIRECT - Lexical
Entailment Rule-Base | Publications ]
Contact
info:
Department of
Lab: +972-3-5318054
E-mail: lili.dav @ gmail.com
I'm
a PhD student at the Computer Science
Department, Bar Ilan
University, under the supervision of Prof. Ido Dagan.
My
research field is Natural Language Processing. I focus on lexical entailment
(my M.Sc research) and entailment-based text
exploration (my Ph.D research). My current work is on
automatic construction of topical taxonomy and unsupervised text categorization.
DIRECT –
Directional Distributional Term-Similarity Resource
The resource contains directional
distributional term-similarity rules automatically extracted as described in (Kotlerman et.al., JNLE-DLS 2010). Most of the rules are
lexical entailment rules, where the meaning of the rule's left-hand-side
implies the meaning of its right-hand-side.
For instance: koala-->animal, bread-->food, imprisonment-->arrest,
wedding-->marriage.
Publications
- Lili
Kotlerman, Ido Dagan,
Maya Gorodetsky and Ezra Daya.
Sentence Clustering via Projection over Term Clusters. STARSEM conference,
short papers. 2012 (forthcoming).
- Asher Stern, Amnon Lotan, Shachar Mirkin, Eyal Shnarch, Lili Kotlerman, Jonathan Berant and Ido Dagan. Knowledge and
Tree-Edits in Learnable Entailment Proofs. Text Analysis Conference (RTE-7). 2011.
[pdf] [bib]
- Lili Kotlerman, Zemer Avital, Ido Dagan, Amnon Lotan and Ofer Weintraub. A Support
Tool for Deriving Domain Taxonomies from Wikipedia. RANLP 2011, System
Demonstrations. [pdf] [bib]
- Shachar
Mirkin, Ido Dagan,
Lili Kotlerman and Idan Szpektor. Classification-based Contextual
Preferences. TextInfer 2011. [pdf] [bib]
- Asher Stern, Eyal Shnarch, Amnon Lotan, Shachar Mirkin, Lili Kotlerman, Naomi Zeichner, Jonathan Berant and Ido Dagan. Rule Chaining and Approximate Match in Textual Inference. Text Analysis Conference (RTE-6). 2010. [pdf] [bib]
- Lili Kotlerman, Ido Dagan, Idan Szpektor and Maayan Zhitomirsky-Geffet. Directional Distributional Similarity for Lexical Inference. Special Issue of Natural Language Engineering on Distributional Lexical Semantics. Natural Language Engineering 16 (4): 359-389.
- Lili Kotlerman, Ido Dagan, Idan Szpektor and Maayan Zhitomirsky-Geffet. Directional distributional similarity for lexical expansion. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, Suntec, Singapore, August, 2009. [pdf] [bib]
- Lili Kotlerman. M.Sc. Thesis. Directional Distributional Similarity for Lexical Expansion. Computer Science Department, Bar Ilan University, Israel. 2009. [pdf] [bib]
- Asher Stern, Eyal Shnarch, Amnon Lotan, Shachar Mirkin, Lili Kotlerman, Naomi Zeichner, Jonathan Berant and Ido Dagan. Rule Chaining and Approximate Match in Textual Inference. Text Analysis Conference (RTE-6). 2010. [pdf] [bib]
- Deriving
Target-Domain Taxonomies from Wikipedia Category Hierarchy. The Israeli
Seminar on Computational Linguistics (ISCOL), Bar Ilan University, 2011.
- Directional
Semantic Similarity. IBM Machine Learning Seminar, Haifa University, 2009.
- Corpus-Based
Distributional Learning of Lexical Entailment. The Israeli Seminar on
Computational Linguistics (ISCOL), Bar Ilan University, 2008.
- Reviewer:
EMNLP-09, COLING-2010, EMNLP-2011, IJCNLP-2011, TKDE journal, ACL-2012
- Coordinator
of a joint project with NICE Systems within the Magneton program of the Israeli Ministry
of Industry, Trade and Labor, 2011.
- Coordinator
of a joint project with Orca Interactive within the NEGEV consortium funded by the Magnet program of the Israeli Ministry of Industry, Trade and
Labor, 2010-2011.
- Teaching:
-
"Statistical
methods in computer science research". Bar Ilan University, 2011.
-
"Introduction
to cryptography and network security". The College of Management, 2005-2006.
- 2009:
M.Sc. in Natural Language Processing. Bar Ilan University, Israel.
Supervisor – Prof. Ido Dagan
- 2003:
B.Sc. in Computer Science (Summa Cum Laude). National technical university “Kharkov
Polytechnic Institute”, Ukraine.
·
BIU
NLP lab: http://www.cs.biu.ac.il/~nlp/
·
ACL
Wiki: http://aclweb.org/aclwiki/index.php?title=Main_Page