Search Results for author: Sairam Gurajada

Found 10 papers, 4 papers with code

A Research Framework for Understanding Education-Occupation Alignment with NLP Techniques

no code implementations ACL (NLP4PosImpact) 2021 Renzhe Yu, Subhro Das, Sairam Gurajada, Kush Varshney, Hari Raghavan, Carlos Lastra-Anadon

Understanding the gaps between job requirements and university curricula is crucial for improving student success and institutional effectiveness in higher education.

Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models

no code implementations21 Feb 2024 Seiji Maekawa, Hayate Iso, Sairam Gurajada, Nikita Bhutani

We demonstrate the efficacy of our finer-grained metric and insights through an adaptive retrieval system that selectively employs retrieval and recall based on the frequencies of entities and relations in the question.

Memorization Question Answering +1

XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates

1 code implementation20 Sep 2023 Haopeng Zhang, Hayate Iso, Sairam Gurajada, Nikita Bhutani

Text editing is a crucial task of modifying text to better align with user intents.

Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers

no code implementations31 May 2022 Sowmya S Sundaram, Sairam Gurajada, Marco Fisichella, Deepak P, Savitha Sam Abraham

From the latter half of the last decade, there has been a growing interest in developing algorithms for automatically solving mathematical word problems (MWP).

Math Mathematical Reasoning

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases

no code implementations15 Jan 2022 Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-suk Lee, Santosh Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G P Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois Luus, L Venkata Subramaniam

Specifically, our benchmark is a temporal question answering dataset with the following advantages: (a) it is based on Wikidata, which is the most frequently curated, openly available knowledge base, (b) it includes intermediate sparql queries to facilitate the evaluation of semantic parsing based approaches for KBQA, and (c) it generalizes to multiple knowledge bases: Freebase and Wikidata.

Knowledge Base Question Answering Semantic Parsing

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking

1 code implementation ACL 2021 Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander Gray

Entity linking (EL), the task of disambiguating mentions in text by linking them to entities in a knowledge graph, is crucial for text understanding, question answering or conversational systems.

Entity Linking Inductive Bias +2

Low-resource Deep Entity Resolution with Transfer and Active Learning

no code implementations ACL 2019 Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa

Recent adaptation of deep learning methods for ER mitigates the need for dataset-specific feature engineering by constructing distributed representations of entity records.

Active Learning Entity Resolution +2

KOGNAC: Efficient Encoding of Large Knowledge Graphs

1 code implementation16 Apr 2016 Jacopo Urbani, Sourav Dutta, Sairam Gurajada, Gerhard Weikum

We propose KOGNAC, a dictionary-encoding algorithm designed to improve SPARQL querying with a judicious combination of statistical and semantic techniques.

Knowledge Graphs

Cannot find the paper you are looking for? You can Submit a new open access paper.