36 citations · 48 across the 7 of their papers we have counts for
7 papers
Tradutor: Building a Variety Specific Translation Model
Hugo Sousa, Satya Almasian, Ricardo Campos +1
Language models have become foundational to many widely used systems. However, these seemingly advantageous models are double-edged swords. While they excel in tasks related to res…
Numbers Matter! Bringing Quantity-awareness to Retrieval Systems
Satya Almasian, Milena Bruseva, Michael Gertz
Quantitative information plays a crucial role in understanding and interpreting the content of documents. Many user queries contain quantities and cannot be resolved without unders…
CQE: A Comprehensive Quantity Extractor
Satya Almasian, Vivian Kazakova, Philip Göldner +1
Quantities are essential in documents to describe factual information. They are ubiquitous in application domains such as finance, business, medicine, and science in general. Compa…
BERT got a Date: Introducing Transformers to Temporal Tagging
Satya Almasian, Dennis Aumiller, Michael Gertz
Temporal expressions in text play a significant role in language understanding and correctly identifying them is fundamental to various retrieval and natural language processing sy…
Structural Text Segmentation of Legal Documents
Dennis Aumiller, Satya Almasian, Sebastian Lackner +1
The growing complexity of legal cases has lead to an increasing interest in legal information retrieval systems that can effectively satisfy user-specific information needs. Howeve…
TopExNet: Entity-Centric Network Topic Exploration in News Streams
Andreas Spitz, Satya Almasian, Michael Gertz
The recent introduction of entity-centric implicit network representations of unstructured text offers novel ways for exploring entity relations in document collections and streams…
Word Embeddings for Entity-annotated Texts
Satya Almasian, Andreas Spitz, Michael Gertz
Learned vector representations of words are useful tools for many information retrieval and natural language processing tasks due to their ability to capture lexical semantics. How…