Posts
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(GSoC) Summary of Neural Extraction Framework
Hello. This is the last blog related to GSoC as my project nears to an end and the final evaluation approaches. In this blog, I will try to summarize the project, write about what could be added further and future scope etc.
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(GSoC) Week-14 Recent Updates
Hello. This blog will be about a few updates I made in recent weeks. Also, I am excited to share that I will be giving a lightning talk in the Google Summer of Code Virtual Contributor Lightning Talks 2023 on my project. Its going to be a short talk(3 minutes max), I will be summarizing my project and I am really excited for it!
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(GSoC) Week-11, 12 and 13 Recent Updates
Hello. Its been a while since I have put an update on the project(travelling and network issues). I had been working on some polishing, enhancing and re-experimenting, with the models that we are using, the time it takes to process the inputs etc. In this blog, I will give a review of these.
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(GSoC) Week-9 and 10 Mid Evaluations and remaining TODOs
Hello. I recently passed my mid term evaluation for GSoC 2023. It has been a great experience so far. DBpedia finally has an end-2-end neural extraction framework. Got insightful feedback from the mentors. In this blog, I will discuss about some tasks that still need to be done in order to make this end-2-end relation extraction reliable and correct.
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(GSoC) Week-8 End-2-End Relation extraction
Hello. It feels amazing to start this blog as we have been able to create an end-2-end system for relation extraction from text, the ultimate goal of this Neural Extraction Framework project.
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(GSoC) Week-7 Predicate mapping
Hello. In this blog, we will be looking into mapping natural language relations to predicates in DBpedia. This task is extremely important in order to achieve our ultimate goal of a neural extraction framework.
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(GSoC) Week-6 Relation Extraction - REBEL
Hello. The previous blog was the last in the entity-linking part of the project. Now we will move onto relation extraction. In this blog, we will discuss about REBEL - a relation extraction model. Given a text, this model can find relational triples(head-relation-tail) in the form of natural language text.
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(GSoC) Week-5 Entity Linking - Benchmarking
Hello. In this blog, I will discuss about the benchmarking(or evaluation 😅) of different entity-linking approaches that I have discussed in previous few blogs. I have used the WNED dataset for benchmarking/evaluation.
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(GSoC) Week-4 GENRE for entity linking
Hello. In this blog, I will be writing about using a text generation model to disambiguate entities, GENRE. It stands for Generative Entity Retrieval, presented in the Autoregressive Entity Retrieval paper by facebook research.
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(GSoC) Week-3 Entity Linking - Techniques used
Hello. In this blog, we will continue with entity linking(read previous blog for intro and simple demos), methods that I am using for entity linking in my project and some recent techniques that can be used to perform EL.
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Indexing in information retrieval
Hello. This blog is about indexing techniques used in information retrieval. I will try to cover some basic indexing techniques and also provide code for some of them.
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(GSoC) Week-2 Entity Linking - Intro
Hello! In this blog, we will discuss about entity linking, a process used to map recognized entities to resources in a knowledge base, like DBpedia.
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(GSoC) Week-1 Named Entity Recognition
Hi! In this post, I will be talking about NER, a very popular and important task in NLP!
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Accepted In Gsoc 2023!
Hello and welcome!