1.8k citations
- Tel Aviv UniversityIL42 papers
- Boston UniversityUS31 papers
- Technion – Israel Institute of TechnologyIL26 papers
- Ben-Gurion University of the NegevIL24 papers
- Hebrew University of JerusalemIL22 papers
- University of Maryland, College ParkUS20 papers
- Ariel UniversityIL19 papers
- Weizmann Institute of ScienceIL19 papers
- Centre National de la Recherche ScientifiqueFR16 papers
- Harvard UniversityUS16 papers
- Institute of Radio AstronomyUA13 papers
- Brookhaven National LaboratoryUS12 papers
5 papers · 2 filters
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen, Emmanuel Dupoux, Yoav Goldberg
The success of long short-term memory (LSTM) neural networks in language processing is typically attributed to their ability to capture long-distance statistical regularities. Ling…
Improving Reliability of Word Similarity Evaluation by Redesigning Annotation Task and Performance Measure
Oded Avraham, Yoav Goldberg
We suggest a new method for creating and using gold-standard datasets for word similarity evaluation. Our goal is to improve the reliability of the evaluation, and we do this by re…
Sequence Segmentation Using Joint RNN and Structured Prediction Models
Yossi Adi, Joseph Keshet, Emily Cibelli +1
We describe and analyze a simple and effective algorithm for sequence segmentation applied to speech processing tasks. We propose a neural architecture that is composed of two modu…
A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments
Omer Levy, Anders Søgaard, Yoav Goldberg
While cross-lingual word embeddings have been studied extensively in recent years, the qualitative differences between the different algorithms remain vague. We observe that whethe…
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations
Vered Shwartz, Ido Dagan
Recognizing various semantic relations between terms is beneficial for many NLP tasks. While path-based and distributional information sources are considered complementary for this…