7 papers
Asynchronous Training of Word Embeddings for Large Text Corpora
Avishek Anand, Megha Khosla, Jaspreet Singh +2
Word embeddings are a powerful approach for analyzing language and have been widely popular in numerous tasks in information retrieval and text mining. Training embeddings over hug…
Expedition: A Time-Aware Exploratory Search System Designed for Scholars
Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
Archives are an important source of study for various scholars. Digitization and the web have made archives more accessible and led to the development of several time-aware explora…
Designing Search Tasks for Archive Search
Jaspreet Singh, Avishek Anand
Longitudinal corpora like legal, corporate and newspaper archives are of immense value to a variety of users, and time as an important factor strongly influences their search behav…
Discovering Entities with Just a Little Help from You
Jaspreet Singh, Johannes Hoffart, Avishek Anand
Linking entities like people, organizations, books, music groups and their songs in text to knowledge bases (KBs) is a fundamental task for many downstream search and mining applic…
History by Diversity: Helping Historians search News Archives
Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
Longitudinal corpora like newspaper archives are of immense value to historical research, and time as an important factor for historians strongly influences their search behaviour…
EXS: Explainable Search Using Local Model Agnostic Interpretability
Jaspreet Singh, Avishek Anand
Retrieval models in information retrieval are used to rank documents for typically under-specified queries. Today machine learning is used to learn retrieval models from click logs…