Assessing Resource-Performance Trade-off of Natural Language Models using Data Envelopment Analysis

We address the problem of link prediction between entities and relations of knowledge graphs. State of the art techniques that address this problem, while increasingly accurate, are computationally intensive. In this paper we cast link prediction as a sparse convex program whose solution defines a quadratic form that is used as a ranking function. The structure of our convex program is such that standard sup- port vector machine software packages, which are numerically robust and efficient, can solve it. We show that on benchmark data sets, our model’s performance is competitive with state of the art models, but training times can be reduced by a factor of 40 using only CPU- based (and not GPU-accelerated) computing resources. This approach may be suitable for applications where balancing the demands of graph completion performance against compu- tational efficiency is a desirable trade-off.

Low Resource Quadratic Forms for Knowledge Graph Embeddings

[![](https://assets.underline.io/uploads/markdown_image/1/image/d3ad15ab8ad93db2e42d31f48e79049f.png)](https://us06web.zoom.us/rec/play/QR1bjSINsXtoCwhY664nr5uaTfXm14Onn-Sga7UXDiB7Xfk_nIRJxAg2rtpbocm42p7a1evwF-L7lZ_I.LMv_oBcNWWJGQ2Ob?autoplay=true&startTime=1668939300000)<br><br>
[![](https://assets.underline.io/uploads/markdown_image/1/image/4fb65ba99e2b22744cbf88050198d474.png)](https://us06web.zoom.us/rec/play/H5ktPEVrL38GW8kc0uTOAcAA1NsSzLYfOiUleYV2t2PAfooBgSf_PJWFmeZo4eocHAWFOifUjAdmCoqM.Lf8MG-Crb7SVndZ_?autoplay=true&startTime=1668966531000)
<br>
<br>**Workshop Organizers:**
<br>Daniel Deutsch, Can Udomcharoenchaikit, Alex Gaskell, Marina Fomicheva, Steffen Eger, and Yang Gao

Third Workshop on Evaluation and Comparison of NLP Systems

workshop paper

The AACL, Asia-Pacific Chapter of the Association for Computational Linguistics, and the AFNLP, Asian Federation of Natural Language Processing, invite you to participate in the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP). 
<br>
<br>

A registration is required to access this event. Access to the event site will be granted to all registered attendees on **November 16th**. If you have not already done so, please register using the link below:
<br>
<br>https://conference.iis.sinica.edu.tw/servlet/Register?ConferenceID=411

Registration Is Required

IJCNLP-AACL 2022

The AACL, Asia-Pacific Chapter of the Association for Computational Linguistics, and the AFNLP, Asian Federation of Natural Language Processing, invite you to participate in the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP). 


[![](https://s3.amazonaws.com/pf-upload-01/u-59356/0/2021-09-18/me23j72/button_workshop-website.png)](https://sites.google.com/view/sustainlp2021/)

W18: SustaiNLP 2021: The Second Workshop on Simple and Efficient Natural Language Processing

EMNLP 2021 is planned to be a hybrid event in Punta Cana, Dominican Republic, with both on-site and fully virtual participation possible. The experience for on-site participants would closely approximate a normal pre-COVID *ACL conference, with 5-6 thematically organized parallel sessions and live Q/A and interactive discussion immediately after the talks. Presentations by virtual participants will be equitably interleaved with those of on-site participants, projected on the auditorium screens as if on-site, and also followed immediately by live Q/A and interactive discussion at a time during reasonable waking hours for the virtual presenter. For all participants, on-site and virtual, who are unable to attend a session due to either time-zone issues or because they are participating in another session live, talk recordings and slides will be available online at a minimum after the live presentation (and in many cases before as well), and questions may be submitted in advance on session-specific discussion boards and answered live in session with the usual visual aids if desired.

<iframe style="width:700px;height:400px" src="https://online.fliphtml5.com/ebtyf/ceby/"  seamless="seamless" scrolling="no" frameborder="0" allowtransparency="true" allowfullscreen="true" ></iframe>

Please Note: The EMNLP registration system is not currently connected to the underline site as we are still in the process of building out EMNLP 2021. You will receive access instructions from underline the week of November 1st. 

Access is given only to EMNLP upon registration, if you have not registered please do so [here](https://2021.emnlp.org/registration).

Registered attendees will receive access the week of November 1st.

EMNLP 2021

EMNLP 2021 is planned to be a hybrid event in Punta Cana, Dominican Republic, with both on-site and fully virtual participation possible.

Zachary Zhou

2

1

SHORT BIO

Presentations

Assessing Resource-Performance Trade-off of Natural Language Models using Data Envelopment Analysis

Low Resource Quadratic Forms for Knowledge Graph Embeddings

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES