16 citations · 26 across the 8 of their papers we have counts for
8 papers
HalluCana: Fixing LLM Hallucination with A Canary Lookahead
Tianyi Li, Erenay Dayanik, Shubhi Tyagi +1
In this paper, we present HalluCana, a canary lookahead to detect and correct factuality hallucinations of Large Language Models (LLMs) in long-form generation. HalluCana detects a…
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
Nacime Bouziani, Shubhi Tyagi, Joseph Fisher +2
Extracting structured information from unstructured text is critical for many downstream NLP applications and is traditionally achieved by closed information extraction (cIE). Howe…
WebIE: Faithful and Robust Information Extraction on the Web
Chenxi Whitehouse, Clara Vania, Alham Fikri Aji +2
Extracting structured and grounded fact triples from raw text is a fundamental task in Information Extraction (IE). Existing IE datasets are typically collected from Wikipedia arti…
ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
Tom Ayoola, Shubhi Tyagi, Joseph Fisher +2
We introduce ReFinED, an efficient end-to-end entity linking model which uses fine-grained entity types and entity descriptions to perform linking. The model performs mention detec…
Improving Entity Disambiguation by Reasoning over a Knowledge Base
Tom Ayoola, Joseph Fisher, Andrea Pierleoni
Recent work in entity disambiguation (ED) has typically neglected structured knowledge base (KB) facts, and instead relied on a limited subset of KB information, such as entity des…
DARE: Data Augmented Relation Extraction with GPT-2
Yannis Papanikolaou, Andrea Pierleoni
Real-world Relation Extraction (RE) tasks are challenging to deal with, either due to limited training data or class imbalance issues. In this work, we present Data Augmented Relat…
Reasoning Over Paths via Knowledge Base Completion
Saatviga Sudhahar, Ian Roberts, Andrea Pierleoni
Reasoning over paths in large scale knowledge graphs is an important problem for many applications. In this paper we discuss a simple approach to automatically build and rank paths…
Deep Bidirectional Transformers for Relation Extraction without Supervision
Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni
We present a novel framework to deal with relation extraction tasks in cases where there is complete lack of supervision, either in the form of gold annotations, or relations from…