Search Results for author:
Found 8 papers, 3 papers with code
Hierarchy Builder: Organizing Textual Spans into a Hierarchy to Facilitate Navigation
Information extraction systems often produce hundreds to thousands of strings on a specific topic.
A Dataset for N-ary Relation Extraction of Drug Combinations
Furthermore, the relations in this dataset predominantly require language understanding beyond the sentence level, adding to the challenge of this task.
Large Scale Substitution-based Word Sense Induction
We present a word-sense induction method based on pre-trained masked language models (MLMs), which can cheaply scale to large vocabularies and large corpora.
Neural Extractive Search
We advocate for a search paradigm called ``extractive search'', in which a search query is enriched with capture-slots, to allow for such rapid extraction.
Bootstrapping Relation Extractors using Syntactic Search by Examples
The models also outperform models trained using NLG data augmentation techniques.
Interactive Extractive Search over Biomedical Corpora
We present a system that allows life-science researchers to search a linguistically annotated corpus of scientific texts using patterns over dependency graphs, as well as using patterns over token sequences and a powerful variant of boolean keyword queries.
Syntactic Search by Example
A demo of the wikipedia system is available at: https://allenai. github. io/spike
