Avirup Sil · PaperMetrix

One for All: Towards Language Independent Named Entity Linking

2016

Entity linking (EL) is the task of disambiguating mentions in text by associating them with entries in a predefined database of mentions (persons, organizations, etc). Most previous EL research has focused mainly on one language, …

Learning Cross-Lingual IR from an English Retriever

2021 · arXiv (Cornell University)

We present DR.DECR (Dense Retrieval with Distillation-Enhanced Cross-Lingual Representation), a new cross-lingual information retrieval (CLIR) system trained using multi-stage knowledge distillation (KD). The teacher of DR.DECR relies on a highly effective but computationally expensive two-stage …

Neural Cross-Lingual Coreference Resolution and its Application to\n Entity Linking

2018 · arXiv (Cornell University)

We propose an entity-centric neural cross-lingual coreference model that\nbuilds on multi-lingual embeddings and language-independent features. We\nperform both intrinsic and extrinsic evaluations of our model. In the intrinsic\nevaluation, we show that our model, when trained on …

A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning

2025 · arXiv (Cornell University)

Multi-turn problem solving is critical yet challenging for Large Reasoning Models (LRMs) to reflect on their reasoning and revise from feedback. Existing Reinforcement Learning (RL) methods train large reasoning models on a single-turn paradigm with …

Neural Cross-Lingual Entity Linking

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

A major challenge in Entity Linking (EL) is making effective use of contextual information to disambiguate mentions to Wikipedia that might refer to different entities in different contexts. The problem exacerbates with cross-lingual EL which …

Cross-lingual Structure Transfer for Relation and Event Extraction

2019