We have built a CLQA (Cross Language Question Answering) system for a source language with limited data resources (e.g. Indonesian) using a machine learning approach. The CLQA system consists of four modules: question analyzer, keyword translator, passage retriever and answer finder. We used ma...
Gupta D et al (2018) MMQA: a multi-domain multi-lingual question-answering framework for English and Hindi. In: Proceedings of the eleventh ınternational conference on language resources and evaluation (LREC 2018) Hu G, Zheng Y, Abualigah L, Hussien AG (2023a) DETDO: an adaptive hybri...
This paper reports our ongoing research work to create a semantic based question answering system for Thailand tourism information. Our proposed system focuses on mapping expressions in Thai natural language into ontology query language ... A Kongthon,S Kongyoung,C Haruechaiyasak,... 被引量: 6发...
language independent. As a result, SALT objects can be embedded into an HTML or any XML document as the spoken language interface. It is the highest design goal of SALT that advanced dialogue management techniques can be realised in a straightforward manner in SALT. The paper (Wang, 2002) ...
Knowledge Graph-augmented Language Models for Complex Question Answering we propose a new method for complex question answering where we combine a knowledge graph retriever based on an end-to-end KGQA model with a language ... P Sen,S Mavadia,A Saffari 被引量: 0发表: 2023年 Multi-hop quest...
A study examined student responses to teacher-initiated questions in classrooms of English as a Second Language (ESL) and English as a Foreign Language (EFL). The study focused specifically on the similarities and differences in the questions asked by native-speaking (NS) teachers of ESL and by...
This paper reports on the pilot question answering track that was carried out within the CLEF initiative this year. The track was divided into monolingual and bilingual tasks: monolingual systems were evaluated within the frame of three non-English European languages, Dutch, Italian and Spanish, whi...
To improve performance, QA systems are increasingly augmenting their general-purpose rules with knowledge about language and about the world. In this paper we describe Webclopedia, a system built over the past 2-1/2 years that includes a classification of QA types to facilitate coverage, uses ...
{Current research in natural language processing is highly dependent on carefully produced corpora. Most existing resources focus on English; some resources focus on languages such as Chinese and French; few resources deal with more than one language. This paper presents the Pir\'{a} dataset, a ...
You need to have an LLM to use paper-qa. You can use OpenAI, llama.cpp (via Server), or any LLMs from langchain. OpenAI just works, as long as you have set your OpenAI API key (export OPENAI_API_KEY=sk-...). See instructions below for other LLMs. ...